Kinematic cross-correlation induces sensory integration across separate objects

Debats N, Ernst MO, Heuer H (2017)
European Journal of Neuroscience 46(12): 2826-2834.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
In a basic cursor-control task, the perceived positions of the hand and the cursor are biased towards each other. We recently found that this phenomenon conforms to the reliability-based weighting mechanism of optimal multisensory integration. This indicates that optimal integration is not restricted to sensory signals originating from a single source, as is the prevailing view, but that it also applies to separate objects that are connected by a kinematic relation (i.e. hand and cursor). In the current study, we examined which aspects of the kinematic relation are crucial for eliciting the sensory integration: (i) the cross-correlation between kinematic variables of the hand and cursor trajectories, and/or (ii) an internal model of the hand-cursor kinematic transformation. Participants made out-and-back movements from the centre of a semicircular workspace to its boundary, after which they judged the position where either their hand or the cursor hit the boundary. We analysed the position biases and found that the integration was strong in a condition with high kinematic correlations (a straight hand trajectory was mapped to a straight cursor trajectory), that it was significantly reduced for reduced kinematic correlations (a straight hand trajectory was transformed into a curved cursor trajectory) and that it was not affected by the inability to acquire an internal model of the kinematic transformation (i.e. by the trial-to-trial variability of the cursor curvature). These findings support the idea that correlations play a crucial role in multisensory integration irrespective of the number of sensory sources involved.
Stichworte
agency; bayesian integration; perception; sensorimotor control; tool-use
Erscheinungsjahr
2017
Zeitschriftentitel
European Journal of Neuroscience
Band
46
Ausgabe
12
Seite(n)
2826-2834
ISSN
0953-816X
eISSN
1460-9568
Page URI
https://pub.uni-bielefeld.de/record/2916339

Zitieren

Debats N, Ernst MO, Heuer H. Kinematic cross-correlation induces sensory integration across separate objects. European Journal of Neuroscience. 2017;46(12):2826-2834.
Debats, N., Ernst, M. O., & Heuer, H. (2017). Kinematic cross-correlation induces sensory integration across separate objects. European Journal of Neuroscience, 46(12), 2826-2834. doi:10.1111/ejn.13758
Debats, Nienke, Ernst, Marc O., and Heuer, Herbert. 2017. “Kinematic cross-correlation induces sensory integration across separate objects”. European Journal of Neuroscience 46 (12): 2826-2834.
Debats, N., Ernst, M. O., and Heuer, H. (2017). Kinematic cross-correlation induces sensory integration across separate objects. European Journal of Neuroscience 46, 2826-2834.
Debats, N., Ernst, M.O., & Heuer, H., 2017. Kinematic cross-correlation induces sensory integration across separate objects. European Journal of Neuroscience, 46(12), p 2826-2834.
N. Debats, M.O. Ernst, and H. Heuer, “Kinematic cross-correlation induces sensory integration across separate objects”, European Journal of Neuroscience, vol. 46, 2017, pp. 2826-2834.
Debats, N., Ernst, M.O., Heuer, H.: Kinematic cross-correlation induces sensory integration across separate objects. European Journal of Neuroscience. 46, 2826-2834 (2017).
Debats, Nienke, Ernst, Marc O., and Heuer, Herbert. “Kinematic cross-correlation induces sensory integration across separate objects”. European Journal of Neuroscience 46.12 (2017): 2826-2834.

33 References

Daten bereitgestellt von Europe PubMed Central.

The Development of Audio-Visual Integration for Temporal Judgements.
Adams WJ., PLoS Comput. Biol. 12(4), 2016
PMID: 27078834
Nonmonotonic extrapolation in function learning.
Bott L, Heit E., J Exp Psychol Learn Mem Cogn 30(1), 2004
PMID: 14736295
Feeling what you hear: auditory signals can modulate tactile tap perception.
Bresciani JP, Ernst MO, Drewing K, Bouyer G, Maury V, Kheddar A., Exp Brain Res 162(2), 2004
PMID: 15791465
Vision and touch are automatically integrated for the perception of sequences of events
Bresciani, J. Vision 6(), 2006
Bayesian integration of spatial information.
Cheng K, Shettleworth SJ, Huttenlocher J, Rieser JJ., Psychol Bull 133(4), 2007
PMID: 17592958

Dam, 2014
Perceptual attraction in tool use: evidence for a reliability-based weighting mechanism.
Debats NB, Ernst MO, Heuer H., J. Neurophysiol. 117(4), 2017
PMID: 28100656

Ernst, 2006

Ernst, 2012

Ernst, 2011
The combination of vision and touch depends on spatial proximity.
Gepshtein S, Burge J, Ernst MO, Banks MS., J Vis 5(11), 2005
PMID: 16441199
Implicit and explicit components of dual adaptation to visuomotor rotations.
Hegele M, Heuer H., Conscious Cogn 19(4), 2010
PMID: 20537562
Knowledge about a common source can promote visual- haptic integration.
Helbig HB, Ernst MO., Perception 36(10), 2007
PMID: 18265835

Heuer, 2013
Combining sensory information: mandatory fusion within, but not between, senses.
Hillis JM, Ernst MO, Banks MS, Landy MS., Science 298(5598), 2002
PMID: 12446912
Spatial action-effect binding.
Kirsch W, Pfister R, Kunde W., Atten Percept Psychophys 78(1), 2016
PMID: 26486641

AUTHOR UNKNOWN, 0
Function learning: induction of continuous stimulus-response relations.
Koh K, Meyer DE., J Exp Psychol Learn Mem Cogn 17(5), 1991
PMID: 1834766
Causal inference in multisensory perception.
Kording KP, Beierholm U, Ma WJ, Quartz S, Tenenbaum JB, Shams L., PLoS ONE 2(9), 2007
PMID: 17895984
Crosstalk between proximal and distal action effects during tool use
Ladwig, Z. Für Psychol. 220(), 2012
Intra- and intermodal integration of discrepant visual and proprioceptive action effects.
Ladwig S, Sutter C, Musseler J., Exp Brain Res 231(4), 2013
PMID: 24101198
When correlation implies causation in multisensory integration.
Parise CV, Spence C, Ernst MO., Curr. Biol. 22(1), 2011
PMID: 22177899
A dedicated binding mechanism for the visual control of movement.
Reichenbach A, Franklin DW, Zatka-Haas P, Diedrichsen J., Curr. Biol. 24(7), 2014
PMID: 24631246
Causal inference in perception.
Shams L, Beierholm UR., Trends Cogn. Sci. (Regul. Ed.) 14(9), 2010
PMID: 20705502
Sound-induced flash illusion as an optimal percept.
Shams L, Ma WJ, Beierholm U., Neuroreport 16(17), 2005
PMID: 16272880
Crossmodal correspondences: a tutorial review.
Spence C., Atten Percept Psychophys 73(4), 2011
PMID: 21264748
Visual-haptic integration with pliers and tongs: signal “weights” take account of changes in haptic sensitivity caused by different tools
Takahashi, Cognition 5(), 2014
Integration of vision and haptics during tool use.
Takahashi C, Diedrichsen J, Watt SJ., J Vis 9(6), 2009
PMID: 19761294
Multiple paired forward and inverse models for motor control.
Wolpert DM, Kawato M., Neural Netw 11(7-8), 1998
PMID: 12662752
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